Climatch

Land with a climate like Nova Olímpia

🇧🇷Nova Olímpia, Mato Grosso, Brazil

The towns with the closest growing climate to Nova Olímpia are Nobres, Brazil (99% match), Lambari d'Oeste and Pontes e Lacerda. About 1.5 million sq mi of land in 20 countries matches 80% or better, most of it in Mato Grosso, Brazil, Rondônia, Brazil and Mato Grosso do Sul, Brazil.The towns with the closest growing climate to Nova Olímpia are Nobres, Brazil (99% match), Lambari d'Oeste and Pontes e Lacerda. About 3.8 million km² of land in 20 countries matches 80% or better, most of it in Mato Grosso, Brazil, Rondônia, Brazil and Mato Grosso do Sul, Brazil.

Your growing climate

Zone 12a · No frost · 0 chill hours · 58 in rainZone 12a · No frost · 0 chill hours · 1,478 mm rain

What grows in Nova Olímpia →

Regions with the most land like yours

  1. 1

    🇧🇷Mato Grosso, Brazil

    162k sq mi419k km² matching 80% or better

    For example Nobres (99), Rosário Oeste (99)

  2. 2

    🇧🇷Rondônia, Brazil

    79k sq mi205k km² matching 80% or better

    For example Cerejeiras (99), Colorado do Oeste (98)

  3. 3

    🇧🇷Mato Grosso do Sul, Brazil

    64k sq mi167k km² matching 80% or better

    For example Coxim (96), Rio Verde de Mato Grosso (94)

  4. 4

    🇨🇩Kwilu, Democratic Republic of the Congo

    24k sq mi63k km² matching 80% or better

    For example Idiofa (87), Masi-Manimba (87)

  5. 5

    🇧🇴Beni Department, Bolivia

    22k sq mi56k km² matching 80% or better

    For example Trinidad (91), Guayaramerín (85)

  6. 6

    🇧🇴Santa Cruz Department, Bolivia

    21k sq mi55k km² matching 80% or better

    For example San Ignacio de Velasco (96), Ascención de Guarayos (92)

  7. 7

    🇨🇲East, Cameroon

    20k sq mi53k km² matching 80% or better

    For example Batouri (86), Bertoua (86)

  8. 8

    🇨🇩Kasai, Democratic Republic of the Congo

    18k sq mi47k km² matching 80% or better

    For example Mweka (83), Ilebo (83)

  9. 9

    🇨🇩Lomami, Democratic Republic of the Congo

    17k sq mi44k km² matching 80% or better

    For example Kabinda (85), Gandajika (84)

  10. 10

    🇨🇮Montagnes, Ivory Coast

    11k sq mi28k km² matching 80% or better

    For example Man (92), Mahapleu (91)

  11. 11

    🇬🇳Nzérékoré Region, Guinea

    8,600 sq mi22k km² matching 80% or better

    For example Lola (89), Nzérékoré (89)

  12. 12

    🇨🇲Centre, Cameroon

    7,500 sq mi19k km² matching 80% or better

    For example Nanga Eboko (83), Bafia (80)

Regions are states and provinces, counting land within 75 km of a town. At most three per country, so the list covers the world.

Closest towns

  1. 1

    🇧🇷NobresMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 53 in rainZone 12a · No frost · 0 chill hours · 1,344 mm rain

    Shares 17 of your 17 great-fit crops

    99%match
  2. 2

    🇧🇷Lambari d'OesteMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 57 in rainZone 12a · No frost · 0 chill hours · 1,451 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  3. 3

    🇧🇷Pontes e LacerdaMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 60 in rainZone 12a · No frost · 0 chill hours · 1,517 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: cacao, banana

    99%match
  4. 4

    🇧🇷Mirassol d'OesteMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 55 in rainZone 12a · No frost · 0 chill hours · 1,405 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  5. 5

    🇧🇷Vila Bela da Santíssima TrindadeMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 60 in rainZone 12a · No frost · 0 chill hours · 1,527 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: cacao, banana

    99%match
  6. 6

    🇧🇷CerejeirasRondônia, Brazil

    Zone 12a · No frost · 0 chill hours · 73 in rainZone 12a · No frost · 0 chill hours · 1,851 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: cacao, banana, tea

    99%match
  7. 7

    🇧🇷PoconéMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 49 in rainZone 12a · No frost · 0 chill hours · 1,257 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  8. 8

    🇧🇷RondonópolisMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,541 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: wheat

    99%match
  9. 9

    🇧🇷CuiabáMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 53 in rainZone 12a · No frost · 0 chill hours · 1,338 mm rain

    Shares 16 of your 17 great-fit crops

    99%match
  10. 10

    🇧🇷JaciaraMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 61 in rainZone 11b · No frost · 0 chill hours · 1,541 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: wheat

    98%match
  11. 11

    🇧🇷LucasMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 50 in rainZone 12a · No frost · 0 chill hours · 1,261 mm rain

    Shares 17 of your 17 great-fit crops

    98%match
  12. 12

    🇧🇷CáceresMato Grosso, Brazil

    Zone 12a · No frost · 0 chill hours · 50 in rainZone 12a · No frost · 0 chill hours · 1,264 mm rain

    Shares 16 of your 17 great-fit crops

    98%match
  13. 13

    🇧🇷Rolim de Moura do GuaporéRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 59 in rainZone 12b · No frost · 0 chill hours · 1,493 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: cacao, banana, tea

    97%match
  14. 14

    🇧🇴San Ignacio de VelascoSanta Cruz Department, Bolivia

    Zone 12a · No frost · 0 chill hours · 44 in rainZone 12a · No frost · 0 chill hours · 1,120 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: wheat

    96%match
  15. 15

    🇧🇷ComodoroMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 77 in rainZone 11b · No frost · 0 chill hours · 1,955 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: wheat, banana, tea

    96%match
  16. 16

    🇧🇷SapezalMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 79 in rainZone 11b · No frost · 0 chill hours · 2,003 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: banana, tea, wheat

    96%match
  17. 17

    🇧🇷São Francisco do GuaporéRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 64 in rainZone 12b · No frost · 0 chill hours · 1,620 mm rain

    Shares 15 of your 17 great-fit crops · Also great there: cacao, banana, tea

    96%match
  18. 18

    🇧🇷CoximMato Grosso do Sul, Brazil

    Zone 11b · No frost · 0 chill hours · 55 in rainZone 11b · No frost · 0 chill hours · 1,406 mm rain

    Shares 17 of your 17 great-fit crops · Also great there: banana, wheat

    96%match
  19. 19

    🇧🇷São Miguel do GuaporéRondônia, Brazil

    Zone 12b · No frost · 0 chill hours · 69 in rainZone 12b · No frost · 0 chill hours · 1,741 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: cacao, banana, tea

    95%match
  20. 20

    🇧🇷Campo Novo do ParecisMato Grosso, Brazil

    Zone 11b · No frost · 0 chill hours · 79 in rainZone 11b · No frost · 0 chill hours · 2,002 mm rain

    Shares 16 of your 17 great-fit crops · Also great there: wheat, banana, tea

    95%match

Any town over 15,000 people, skipping those within 75 km of you. ↻ = seasons flipped across the equator.

How matching works

We compare all twelve months of average highs and lows, rain, humidity and sunshine, the same way as Climatch's places-like search, but weighted for growing: winter lows count most, since frost, chill and hardiness decide which perennials survive, then summer highs and rain. Humidity counts least.

Scores show how unusual a match this close is: 80 or better is closer than all but about 2% of random pairs of places. Across the equator seasons are lined up (↻), so a southern farm's January is compared with a northern July. Climate is only part of it: check soil, water and day length (it matters for photoperiod crops) before buying land.

Looking for land?

We're building detailed reports on land like Nova Olímpia: frost risk year by year, water, and how each match's climate is shifting by 2050.

We'll only use your email for the report and related updates.

Climate data: TerraClimate 1991–2020 monthly averages (Abatzoglou, J.T. et al., 2018, Scientific Data 5:170191). Humidity is derived from TerraClimate vapor pressure; “sunshine” is solar radiation.

Places: GeoNames (CC BY 4.0). Map: © OpenStreetMap contributors, tiles by OpenFreeMap.

Grower tools: crop ranges from FAO ECOCROP and university extension guides (cited per crop). Daily weather, frost dates and chill are estimated from the monthly averages; chill portions use the Dynamic Model (Fishman, Erez & Couvillon, 1987), hardiness zones follow the USDA definition.